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VideoMAE: MaskedAutoencodersareData-Efficient LearnersforSelf-SupervisedVideoPre-Training

Neural Information Processing Systems

Transformer [70]has brought significant progress in natural language processing [17,7,54]. The vision transformer [20] also improves a series of computer vision tasks including image classification [66,88], object detection [8,37], semantic segmentation [80], object tracking [13,16], and video recognition [6,3].


NavigatingtheEffectofParametrization forDimensionalityReduction

Neural Information Processing Systems

Parametric dimensionality reduction methods have gained prominence for their ability togeneralize tounseen datasets, anadvantage that traditional approaches typically lack. Despite their growing popularity, there remains a prevalent misconception among practitioners about the equivalence in performance between parametric and non-parametric methods. Here, we showthat these methods are not equivalent - parametric methods retain global structure but lose significant localdetails.








178b6cd141e003fa5ff808c7d7d8e2cc-Paper-Conference.pdf

Neural Information Processing Systems

AStackelberg game[30, 31] is a strategic interaction between two utility-maximizing players in which one player (theleader) is able to commit to a (possibly mixed) strategy before the other player (thefollower)takesanaction.